<!DOCTYPE html>
<html lang="ja">
<head>
    <meta http-equiv="content-type" content="text/html;charset=utf-8"/>
    <meta name="viewport" content="width=device-width, initial-scale=1.0"/>
    <meta name="description" content="これは分類作業用の再利用可能なトレーナーです"/>

    <meta name="twitter:card" content="summary"/>
    <meta name="twitter:image:src" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta name="twitter:title" content="NLP 分類トレーナー"/>
    <meta name="twitter:description" content="これは分類作業用の再利用可能なトレーナーです"/>
    <meta name="twitter:site" content="@labmlai"/>
    <meta name="twitter:creator" content="@labmlai"/>

    <meta property="og:url" content="https://nn.labml.ai/experiments/nlp_classification.html"/>
    <meta property="og:title" content="NLP 分類トレーナー"/>
    <meta property="og:image" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta property="og:site_name" content="NLP 分類トレーナー"/>
    <meta property="og:type" content="object"/>
    <meta property="og:title" content="NLP 分類トレーナー"/>
    <meta property="og:description" content="これは分類作業用の再利用可能なトレーナーです"/>

    <title>NLP 分類トレーナー</title>
    <link rel="shortcut icon" href="/icon.png"/>
    <link rel="stylesheet" href="../pylit.css?v=1">
    <link rel="canonical" href="https://nn.labml.ai/experiments/nlp_classification.html"/>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.13.18/dist/katex.min.css" integrity="sha384-zTROYFVGOfTw7JV7KUu8udsvW2fx4lWOsCEDqhBreBwlHI4ioVRtmIvEThzJHGET" crossorigin="anonymous">

    <!-- Global site tag (gtag.js) - Google Analytics -->
    <script async src="https://www.googletagmanager.com/gtag/js?id=G-4V3HC8HBLH"></script>
    <script>
        window.dataLayer = window.dataLayer || [];

        function gtag() {
            dataLayer.push(arguments);
        }

        gtag('js', new Date());

        gtag('config', 'G-4V3HC8HBLH');
    </script>
</head>
<body>
<div id='container'>
    <div id="background"></div>
    <div class='section'>
        <div class='docs'>
            <p>
                <a class="parent" href="/">home</a>
                <a class="parent" href="index.html">experiments</a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
                    <img alt="Github"
                         src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
                         style="max-width:100%;"/></a>
                <a href="https://twitter.com/labmlai" rel="nofollow" target="_blank">
                    <img alt="Twitter"
                         src="https://img.shields.io/twitter/follow/labmlai?style=social"
                         style="max-width:100%;"/></a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/experiments/nlp_classification.py" target="_blank">
                    View code on Github</a>
            </p>
        </div>
    </div>
    <div class='section' id='section-0'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-0'>#</a>
            </div>
            <h1>分類用 NLP モデルトレーナー</h1>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">11</span><span></span><span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">Counter</span>
<span class="lineno">12</span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Callable</span>
<span class="lineno">13</span>
<span class="lineno">14</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">15</span><span class="kn">import</span> <span class="nn">torchtext</span>
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">DataLoader</span>
<span class="lineno">18</span><span class="kn">import</span> <span class="nn">torchtext.vocab</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">torchtext.vocab</span> <span class="kn">import</span> <span class="n">Vocab</span>
<span class="lineno">20</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">monit</span>
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_helpers.device</span> <span class="kn">import</span> <span class="n">DeviceConfigs</span>
<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_helpers.metrics.accuracy</span> <span class="kn">import</span> <span class="n">Accuracy</span>
<span class="lineno">25</span><span class="kn">from</span> <span class="nn">labml_helpers.module</span> <span class="kn">import</span> <span class="n">Module</span>
<span class="lineno">26</span><span class="kn">from</span> <span class="nn">labml_helpers.train_valid</span> <span class="kn">import</span> <span class="n">TrainValidConfigs</span><span class="p">,</span> <span class="n">hook_model_outputs</span><span class="p">,</span> <span class="n">BatchIndex</span>
<span class="lineno">27</span><span class="kn">from</span> <span class="nn">labml_nn.optimizers.configs</span> <span class="kn">import</span> <span class="n">OptimizerConfigs</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <p><a id="NLPClassificationConfigs"></a></p>
<h2>トレーナー構成</h2>
<p>これには、NLP分類タスクトレーニングの基本的な構成があります。すべてのプロパティは設定可能です。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">30</span><span class="k">class</span> <span class="nc">NLPClassificationConfigs</span><span class="p">(</span><span class="n">TrainValidConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            <p>オプティマイザー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">41</span>    <span class="n">optimizer</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <p>トレーニングデバイス</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">43</span>    <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">DeviceConfigs</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p>自己回帰モデル</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">46</span>    <span class="n">model</span><span class="p">:</span> <span class="n">Module</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p>バッチサイズ</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">48</span>    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p>シーケンスの長さ、またはコンテキストサイズ</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">50</span>    <span class="n">seq_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p>語彙</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">52</span>    <span class="n">vocab</span><span class="p">:</span> <span class="n">Vocab</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p>ボキャブラリー内のトークンの数</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">54</span>    <span class="n">n_tokens</span><span class="p">:</span> <span class="nb">int</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>クラス数</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">56</span>    <span class="n">n_classes</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>トークナイザー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">58</span>    <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Callable</span> <span class="o">=</span> <span class="s1">&#39;character&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p>モデルを定期的に保存するかどうか</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">61</span>    <span class="n">is_save_models</span> <span class="o">=</span> <span class="kc">True</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p>損失関数</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">64</span>    <span class="n">loss_func</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <p>精度機能</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">66</span>    <span class="n">accuracy</span> <span class="o">=</span> <span class="n">Accuracy</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p>モデル埋め込みサイズ</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">68</span>    <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p>グラデーションクリッピング</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">70</span>    <span class="n">grad_norm_clip</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            <p>トレーニングデータローダー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">73</span>    <span class="n">train_loader</span><span class="p">:</span> <span class="n">DataLoader</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <p>検証データローダー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">75</span>    <span class="n">valid_loader</span><span class="p">:</span> <span class="n">DataLoader</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>モデルパラメーターと勾配を記録するかどうか (エポックごとに 1 回)。これらはレイヤーごとの統計情報をまとめたものですが、それでも非常に深いネットワークの多くの指標につながる可能性があります</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">80</span>    <span class="n">is_log_model_params_grads</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p>モデルのアクティベーションをログに記録するかどうか (エポックごとに 1 回)。これらはレイヤーごとの統計情報をまとめたものですが、それでも非常に深いネットワークの多くの指標につながる可能性があります</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">85</span>    <span class="n">is_log_model_activations</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <h3>初期化</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">87</span>    <span class="k">def</span> <span class="nf">init</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>トラッカー構成を設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">92</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">&quot;accuracy.*&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
<span class="lineno">93</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">&quot;loss.*&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>モジュール出力をログに記録するフックを追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">95</span>        <span class="n">hook_model_outputs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">&#39;model&#39;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <p>ステートモジュールとして精度を追加してください。この名前は、RNN のトレーニングと検証の間の状態を保存するためのものなので、おそらくわかりにくいでしょう。これにより、精度指標の統計情報がトレーニング用と検証用に別々に保持されます。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">100</span>        <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="p">]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-24'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-24'>#</a>
            </div>
            <h3>トレーニングまたは検証ステップ</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">102</span>    <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="nb">any</span><span class="p">,</span> <span class="n">batch_idx</span><span class="p">:</span> <span class="n">BatchIndex</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            <p>データをデバイスに移動</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">108</span>        <span class="n">data</span><span class="p">,</span> <span class="n">target</span> <span class="o">=</span> <span class="n">batch</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">batch</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-26'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-26'>#</a>
            </div>
            <p>トレーニングモード時にグローバルステップ (処理されたトークンの数) を更新</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">111</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span>
<span class="lineno">112</span>            <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-27'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-27'>#</a>
            </div>
            <p>モデル出力をキャプチャするかどうか</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">115</span>        <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">is_log_activations</span><span class="o">=</span><span class="n">batch_idx</span><span class="o">.</span><span class="n">is_last</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_log_model_activations</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-28'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-28'>#</a>
            </div>
            <p>モデル出力を取得します。RNN を使用する場合はステートのタプルを返します。これはまだ実装されていません。😜</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">119</span>            <span class="n">output</span><span class="p">,</span> <span class="o">*</span><span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-29'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-29'>#</a>
            </div>
            <p>損失の計算と記録</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">122</span>        <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
<span class="lineno">123</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">&quot;loss.&quot;</span><span class="p">,</span> <span class="n">loss</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-30'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-30'>#</a>
            </div>
            <p>精度の計算と記録</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">126</span>        <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
<span class="lineno">127</span>        <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="o">.</span><span class="n">track</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-31'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-31'>#</a>
            </div>
            <p>モデルのトレーニング</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">130</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-32'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-32'>#</a>
            </div>
            <p>勾配の計算</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">132</span>            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-33'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-33'>#</a>
            </div>
            <p>クリップグラデーション</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">134</span>            <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">clip_grad_norm_</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">max_norm</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grad_norm_clip</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-34'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-34'>#</a>
            </div>
            <p>最適化の一歩を踏み出す</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">136</span>            <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-35'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-35'>#</a>
            </div>
            <p>各エポックの最後のバッチでモデルパラメータと勾配を記録します</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">138</span>            <span class="k">if</span> <span class="n">batch_idx</span><span class="o">.</span><span class="n">is_last</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_log_model_params_grads</span><span class="p">:</span>
<span class="lineno">139</span>                <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">&#39;model&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-36'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-36'>#</a>
            </div>
            <p>グラデーションをクリア</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">141</span>            <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-37'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-37'>#</a>
            </div>
            <p>追跡したメトリクスを保存する</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">144</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-38'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-38'>#</a>
            </div>
            <h3><a href="../optimizers/configs.html">デフォルトのオプティマイザー構成</a></h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">147</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
<span class="lineno">148</span><span class="k">def</span> <span class="nf">_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPClassificationConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-39'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-39'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">153</span>    <span class="n">optimizer</span> <span class="o">=</span> <span class="n">OptimizerConfigs</span><span class="p">()</span>
<span class="lineno">154</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">parameters</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">()</span>
<span class="lineno">155</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="s1">&#39;Adam&#39;</span>
<span class="lineno">156</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">d_model</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span>
<span class="lineno">157</span>
<span class="lineno">158</span>    <span class="k">return</span> <span class="n">optimizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-40'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-40'>#</a>
            </div>
            <h3>ベーシック・イングリッシュ・トークナイザー</h3>
<p>この実験では、キャラクターレベルのトークナイザーを使用します。設定で切り替えることができますが、</p>
<pre  class="highlight lang-"><code><span></span><span class="s1">&#39;tokenizer&#39;</span><span class="p">:</span> <span class="s1">&#39;basic_english&#39;</span><span class="p">,</span></code></pre>
<p>実験を開始するときに構成辞書にあります。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">161</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">)</span>
<span class="lineno">162</span><span class="k">def</span> <span class="nf">basic_english</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-41'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-41'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">176</span>    <span class="kn">from</span> <span class="nn">torchtext.data</span> <span class="kn">import</span> <span class="n">get_tokenizer</span>
<span class="lineno">177</span>    <span class="k">return</span> <span class="n">get_tokenizer</span><span class="p">(</span><span class="s1">&#39;basic_english&#39;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-42'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-42'>#</a>
            </div>
            <h3>キャラクターレベルトークナイザー</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">180</span><span class="k">def</span> <span class="nf">character_tokenizer</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-43'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-43'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">184</span>    <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-44'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-44'>#</a>
            </div>
            <p>キャラクターレベルのトークナイザー設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">187</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">)</span>
<span class="lineno">188</span><span class="k">def</span> <span class="nf">character</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-45'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-45'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">192</span>    <span class="k">return</span> <span class="n">character_tokenizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-46'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-46'>#</a>
            </div>
            <p>トークンの数を取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">195</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">n_tokens</span><span class="p">)</span>
<span class="lineno">196</span><span class="k">def</span> <span class="nf">_n_tokens</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPClassificationConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-47'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-47'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">200</span>    <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">vocab</span><span class="p">)</span> <span class="o">+</span> <span class="mi">2</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-48'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-48'>#</a>
            </div>
            <h2>データをバッチにロードする機能</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">203</span><span class="k">class</span> <span class="nc">CollateFunc</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-49'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-49'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">tokenizer</span></code>
トークナイザー関数です</li>
<li><code  class="highlight"><span></span><span class="n">vocab</span></code>
はボキャブラリー</li>
<li><code  class="highlight"><span></span><span class="n">seq_len</span></code>
シーケンスの長さです</li>
<li><code  class="highlight"><span></span><span class="n">padding_token</span></code>
<code  class="highlight"><span></span><span class="n">seq_len</span></code>
がテキストの長さより大きい場合にパディングに使用されるトークンです</li>
<li><code  class="highlight"><span></span><span class="n">classifier_token</span></code>
<code  class="highlight"><span></span><span class="p">[</span><span class="n">CLS</span><span class="p">]</span></code>
入力の最後に設定したトークンです</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">208</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">,</span> <span class="n">vocab</span><span class="p">:</span> <span class="n">Vocab</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">padding_token</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">classifier_token</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-50'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-50'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">216</span>        <span class="bp">self</span><span class="o">.</span><span class="n">classifier_token</span> <span class="o">=</span> <span class="n">classifier_token</span>
<span class="lineno">217</span>        <span class="bp">self</span><span class="o">.</span><span class="n">padding_token</span> <span class="o">=</span> <span class="n">padding_token</span>
<span class="lineno">218</span>        <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span> <span class="o">=</span> <span class="n">seq_len</span>
<span class="lineno">219</span>        <span class="bp">self</span><span class="o">.</span><span class="n">vocab</span> <span class="o">=</span> <span class="n">vocab</span>
<span class="lineno">220</span>        <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span> <span class="o">=</span> <span class="n">tokenizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-51'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-51'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">batch</span></code>
が収集したデータのバッチです <code  class="highlight"><span></span><span class="n">DataLoader</span></code>
</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">222</span>    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-52'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-52'>#</a>
            </div>
            <p>で初期化された入力データテンソル <code  class="highlight"><span></span><span class="n">padding_token</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">228</span>        <span class="n">data</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">full</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">batch</span><span class="p">)),</span> <span class="bp">self</span><span class="o">.</span><span class="n">padding_token</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-53'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-53'>#</a>
            </div>
            <p>空ラベルテンソル</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">230</span>        <span class="n">labels</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">batch</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-54'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-54'>#</a>
            </div>
            <p>サンプルをループ処理</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">233</span>        <span class="k">for</span> <span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">_label</span><span class="p">,</span> <span class="n">_text</span><span class="p">))</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">batch</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-55'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-55'>#</a>
            </div>
            <p>ラベルを設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">235</span>            <span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">_label</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-56'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-56'>#</a>
            </div>
            <p>入力テキストをトークン化</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">237</span>            <span class="n">_text</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">vocab</span><span class="p">[</span><span class="n">token</span><span class="p">]</span> <span class="k">for</span> <span class="n">token</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">_text</span><span class="p">)]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-57'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-57'>#</a>
            </div>
            <p>最大まで切り捨て <code  class="highlight"><span></span><span class="n">seq_len</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">239</span>            <span class="n">_text</span> <span class="o">=</span> <span class="n">_text</span><span class="p">[:</span><span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span><span class="p">]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-58'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-58'>#</a>
            </div>
            <p>転置してデータに追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">241</span>            <span class="n">data</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">_text</span><span class="p">),</span> <span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">new_tensor</span><span class="p">(</span><span class="n">_text</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-59'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-59'>#</a>
            </div>
            <p>シーケンスの最後のトークンを次のように設定します。<code  class="highlight"><span></span><span class="p">[</span><span class="n">CLS</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">244</span>        <span class="n">data</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">classifier_token</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-60'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-60'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">247</span>        <span class="k">return</span> <span class="n">data</span><span class="p">,</span> <span class="n">labels</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-61'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-61'>#</a>
            </div>
            <h3>AG ニュースデータセット</h3>
<p>これにより AG News データセットが読み込まれ<code  class="highlight"><span></span><span class="n">n_classes</span></code>
、、<code  class="highlight"><span></span><span class="n">vocab</span></code>
<code  class="highlight"><span></span><span class="n">train_loader</span></code>
、<code  class="highlight"><span></span><span class="n">valid_loader</span></code>
の値が設定されます。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">250</span><span class="nd">@option</span><span class="p">([</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">n_classes</span><span class="p">,</span>
<span class="lineno">251</span>         <span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">vocab</span><span class="p">,</span>
<span class="lineno">252</span>         <span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">,</span>
<span class="lineno">253</span>         <span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">])</span>
<span class="lineno">254</span><span class="k">def</span> <span class="nf">ag_news</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPClassificationConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-62'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-62'>#</a>
            </div>
            <p>トレーニングと検証のデータセットを入手</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">263</span>    <span class="n">train</span><span class="p">,</span> <span class="n">valid</span> <span class="o">=</span> <span class="n">torchtext</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">AG_NEWS</span><span class="p">(</span><span class="n">root</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;ag_news&#39;</span><span class="p">),</span> <span class="n">split</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;train&#39;</span><span class="p">,</span> <span class="s1">&#39;test&#39;</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-63'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-63'>#</a>
            </div>
            <p>データをメモリに読み込む</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">266</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Load data&#39;</span><span class="p">):</span>
<span class="lineno">267</span>        <span class="kn">from</span> <span class="nn">labml_nn.utils</span> <span class="kn">import</span> <span class="n">MapStyleDataset</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-64'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-64'>#</a>
            </div>
            <p><a href="../utils.html#map_style_dataset">マップスタイルのデータセットの作成</a></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">270</span>        <span class="n">train</span><span class="p">,</span> <span class="n">valid</span> <span class="o">=</span> <span class="n">MapStyleDataset</span><span class="p">(</span><span class="n">train</span><span class="p">),</span> <span class="n">MapStyleDataset</span><span class="p">(</span><span class="n">valid</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-65'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-65'>#</a>
            </div>
            <p>トークナイザーを入手</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">273</span>    <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">tokenizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-66'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-66'>#</a>
            </div>
            <p>カウンターの作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">276</span>    <span class="n">counter</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-67'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-67'>#</a>
            </div>
            <p>トレーニングデータセットからトークンを収集</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">278</span>    <span class="k">for</span> <span class="p">(</span><span class="n">label</span><span class="p">,</span> <span class="n">line</span><span class="p">)</span> <span class="ow">in</span> <span class="n">train</span><span class="p">:</span>
<span class="lineno">279</span>        <span class="n">counter</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">line</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-68'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-68'>#</a>
            </div>
            <p>検証データセットからトークンを収集</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">281</span>    <span class="k">for</span> <span class="p">(</span><span class="n">label</span><span class="p">,</span> <span class="n">line</span><span class="p">)</span> <span class="ow">in</span> <span class="n">valid</span><span class="p">:</span>
<span class="lineno">282</span>        <span class="n">counter</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">line</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-69'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-69'>#</a>
            </div>
            <p>ボキャブラリーの作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">284</span>    <span class="n">vocab</span> <span class="o">=</span> <span class="n">torchtext</span><span class="o">.</span><span class="n">vocab</span><span class="o">.</span><span class="n">vocab</span><span class="p">(</span><span class="n">counter</span><span class="p">,</span> <span class="n">min_freq</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-70'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-70'>#</a>
            </div>
            <p>トレーニングデータローダーの作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">287</span>    <span class="n">train_loader</span> <span class="o">=</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">train</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="lineno">288</span>                              <span class="n">collate_fn</span><span class="o">=</span><span class="n">CollateFunc</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">,</span> <span class="n">vocab</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-71'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-71'>#</a>
            </div>
            <p>検証データローダーの作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">290</span>    <span class="n">valid_loader</span> <span class="o">=</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">valid</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="lineno">291</span>                              <span class="n">collate_fn</span><span class="o">=</span><span class="n">CollateFunc</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">,</span> <span class="n">vocab</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-72'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-72'>#</a>
            </div>
            <p>リターン<code  class="highlight"><span></span><span class="n">n_classes</span></code>
<code  class="highlight"><span></span><span class="n">vocab</span></code>
、<code  class="highlight"><span></span><span class="n">train_loader</span></code>
、、<code  class="highlight"><span></span><span class="n">valid_loader</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">294</span>    <span class="k">return</span> <span class="mi">4</span><span class="p">,</span> <span class="n">vocab</span><span class="p">,</span> <span class="n">train_loader</span><span class="p">,</span> <span class="n">valid_loader</span></pre></div>
        </div>
    </div>
    <div class='footer'>
        <a href="https://papers.labml.ai">Trending Research Papers</a>
        <a href="https://labml.ai">labml.ai</a>
    </div>
</div>
<script src=../interactive.js?v=1"></script>
<script>
    function handleImages() {
        var images = document.querySelectorAll('p>img')

        for (var i = 0; i < images.length; ++i) {
            handleImage(images[i])
        }
    }

    function handleImage(img) {
        img.parentElement.style.textAlign = 'center'

        var modal = document.createElement('div')
        modal.id = 'modal'

        var modalContent = document.createElement('div')
        modal.appendChild(modalContent)

        var modalImage = document.createElement('img')
        modalContent.appendChild(modalImage)

        var span = document.createElement('span')
        span.classList.add('close')
        span.textContent = 'x'
        modal.appendChild(span)

        img.onclick = function () {
            console.log('clicked')
            document.body.appendChild(modal)
            modalImage.src = img.src
        }

        span.onclick = function () {
            document.body.removeChild(modal)
        }
    }

    handleImages()
</script>
</body>
</html>